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Intra-cavity light distribution model for photodynamic therapy

Bouwmans, Rens (2018) Intra-cavity light distribution model for photodynamic therapy.

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Abstract:Introduction. The first steps are made towards a novel approach to improve photodynamic therapy (PDT) used to treat patients with superficial tumors in the sinonasal cavities of the head and neck region. The long-term goal is to improve the efficacy of PDT by improving the planning that is done in advance with the use of an objective planning software tool, which determines the light source location, output power and exposure time. The first steps towards the long-term goal are taken by assessing two possible light distribution models. Method. An analytic light distribution model was made which is based on radiometric principles and an empiric light distribution model was made based on empiricly found relation between the fluence rate caused by direct initial light and measured fluence rate. Both models were verified with three 3D printed phantom measurements and validated with a tissue phantom measurement. Results. A cavity specific linear connection was found empiricly between direct initial fluence rate and measured fluence rate. The verification of the models resulted in a root mean square (rms) of 20.8 for the analytic model and 27.5 for the empiric model. The validation of the models resulted in a rms of 8.2 for the analytic model and 7.4 for the empiric model. The analytic model was able to simulate all measured fluence rates whereas the empiric model was able to simulate only the fluence rates measured by the measuring probes that received direct initial light. Conclusion. Both models showed acceptable simulations within the conducted phantom measurements. Regarding the clinically applicability and the calculation speed it seems that the empiric model is more clinically applicable than the analytic model, however more research is needed to give a definitive conclusion on this.
Item Type:Essay (Master)
Faculty:TNW: Science and Technology
Subject:33 physics, 44 medicine, 50 technical science in general, 54 computer science
Programme:Technical Medicine MSc (60033)
Link to this item:http://purl.utwente.nl/essays/77062
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